ADHERENCE TO THE PECARN PEDIATRIC HEAD INJURY RULE IN TWO CANADIAN EMERGENCY SETTINGS
Bibliographic record
Abstract
Abstract BACKGROUND Head computerized tomography (CT) increases the risk of cancer in children and should be carefully prescribed to paediatric patients with head injury. The Pediatric Emergency Care Applied Network (PECARN) validated a rule to identify children at risk of a clinically important traumatic brain injury (TBI) needing a head CT. OBJECTIVES The objective was to evaluate adherence to the PECARN rule as a function of CT overuse (defined as a prescribed CT when not recommended by the rule) and underuse rates (no CT performed when recommended) in two Canadian emergency departments (EDs). DESIGN/METHODS We conducted a retrospective chart review of children under 17 years of age seen in 2016 in a paediatric Level I (site 1) and a general Level II (site 2) trauma center. We reviewed charts to determine the appropriateness of head CT use according to the PECARN rule in a random subset of children presenting with a head trauma. Mandatory inclusion criteria were (1) that the head trauma occurred in the 24 hours prior to arrival to the ED, (2) a GCS over 13 and (3) and at least one sign or symptom of minor TBI. Patients with a special condition that could have influenced the decision to order a head CT were automatically excluded. When a patient did not receive a head CT when recommended by the rule, we reviewed medical records to determine if the patient has returned to the ED after his discharge within the next 30 days. RESULTS 1546 eligible patients younger than 17 years consulted during the study period. Of the 203 randomly selected cases per setting, 16 (7.9%) and 24 (12%) respectively from sites 1 and 2 had a head CT performed. For the younger group (< 2), both overuse and underuse rates were below 3%. For the older group, overuse rates were higher in site 2 (9.3% (95%CI:4.8–17%) vs. 1.2% (95%CI:0.2–6.5%) (P=.03)) and there was no difference in underuse rates (22% (95%CI:6.3–55%) vs 39% (95%CI:18–65%) (P=.65)). For children who did not receive a head CT when recommended, none returned to the ED for a related complication. CONCLUSION Overall, even if there may be slightly more overuse of head CTs in the Level II trauma center, results showed an excellent agreement with the PECARN rule when CT was not recommended. However, results also showed a deviation when CT was recommended, where a higher portion of patients than expected did not receive a head CT. Reasons to explain this behaviour will need further exploration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".